Information Retrieval seeks to explore the methods and techniques of organizing, representing, storing, and searching of information in textual and multimedia forms (speech, image, and music).
In our lab, we have conducted several research topics in the area of information retrieval:
Natural Language Processing is a field which tries to model natural language in formal rule representation, or formalism grammar. This representation can be categorized into phonetics, morphology, syntax, semantics, and discourses.
We have developed several NLP tools, especially for Indonesian Language, such as:
Language Resources Development
Indonesian Language is still considered as an Under-resourced Language, which means that we are still lack of language resources to support most of the natural language processing tools.
In our lab, we are also developing several language resources such as:
Text Mining seeks approaches for structuring textual data, deriving patterns from the structured textual, and finally interpreting and mining useful information from the results.
We have been doing research on the following areas of text mining:
Machine Translation is a field of computational linguistics that develops computational models to automatically translate written text or spoken language from one language to another.
In our lab, we have conducted research in machine translation, including:
Speech Processing focuses combining acoustic modeling, linguistic knowledge, and AI/ML to create technologies that support more natural human–computer communication.
At our lab, we explore speech technologies, including:
Computational Social Science applies computational methods is to understand human behavior, social interactions, and societal phenomena through large-scale digital data.
In our lab, we conduct research on online communities and social-media data, including: